Abstract: Time-series anomaly detection is essential for ensuring the reliability of large-scale data stream applications. However, existing deep learning approaches primarily rely on ...
Abstract: The increasing global aging population and the associated risk of falls necessitate the development of efficient and reliable automated human fall detection systems. This paper presents a ...
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